- Text Classifications Learned from Language Model Hidden Layers (Proceedings of the IEEE 19th World Symposium on Applied Machine Intelligence and Informatics, January 2021)
- Towards Neural Programming Interfaces (Advances in Neural Information Processing Systems, December 2020)
- BYU-EVE: Mixed Initiative Dialog via Structured Knowledge Graph Traversal and Conversational Scaffolding (Amazon Alexa Prize Proceedings, November 2018)
- Harvesting Common-Sense Navigational Knowledge for Robotics from Uncurated Text Corpora (1st Annual Conference on Robot Learning (CoRL), 2017)
Research Experience
- NSF GRFP Fellow & PhD Candidate in Electrical & Computer Engineering under Dr. David Carlson at Duke University (current)
- ETI Intern/Fellow, Oak Ridge National Laboratory (2022)
- Data Engineering Intern, Capital One (2019, 2020) - automated natural language processing (Pytorch, AWS, Tensorflow)
- Research Assistant, DRAGN Labs (2019-2020) - controlable text generation
- Research Assistant, Perception Control and Cognition Lab (2017-2020) - Common-sense knowledge extraction, Knowledge representation, Digital pathology
Education
- MS Electrical Engineering, Duke University (2023)
NSF GRFP Fellow & PhD Candidate in Electrical & Computer Engineering under Dr. David Carlson at Duke University. My current work is focused on jointly modeling high and low-frequency signals (neuronal spike traces and local field potentials).